AI & ML
Python for Data Science: First Steps (No Confusion)
If you are starting a data science training journey, learn the minimum Python tooling stack, how to practise safely with datasets, and how this connects to AI & ML later.
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The smallest useful toolchain
Start with Python fundamentals, then learn environments, notebooks or scripts, and CSV/JSON ingestion patterns before jumping into advanced ML libraries.
Practice that builds intuition
Pick small public datasets and write a repeatable workflow: clean → visualise → summarise → document assumptions. This mirrors real internship tasks.